Enrollment Strategies Research Articles

The role of social networks in enrollment strategy of universities in Vietnam

It is increasingly vital for universities to compete more and more to attract students with better input quality. Enrollment consultation has become an important part of the enrollment strategy of higher education institutions. In Vietnam, robust development of information technology infrastructure, declining prices of services and equipment and increasingly widespread applications of social networking have resulted in the growing role social media in communication and enrollment strategy of universities. This study compares the change in social media usage, specifically, videos on the social network facebook, as an important communication and enrollment promotion tool of 29 public universities in Hanoi in 2019 and 2020. The findings show that there is a strong growth in both quantity and quality of enrollment promotion videos over the past 2 years. The study also shows that fluctuations in the number of videos, video length, and enrolment quotas had an impact on the number of views of promotion videos on social networks. There are some implications that university managers might consider: enhancing reputation by taking various approaches, describing the program structure, explaining relevant skills and knowledge that learners may have, describing student life examples. University should also be aware of the benefits and importance of alumni and current students as well as university staff. University marketing managers can plan and execute effective marketing strategies at various levels to reach potential students, to engage with them through social networks and finally turn these interactions into applications.

Disparities in the enrollment of racial and ethnic minorities in clinical trials of poly ADP ribose polymerase inhibitors for women's cancers

<h3>Objectives:</h3> Disparities persist in the enrollment of diverse racial and ethnic groups in clinical trials for ovarian and breast cancers. We sought to analyze the enrollment of participants by race/ethnicity in phase II and III clinical trials involving poly ADP ribose polymerase (PARP) inhibitors for ovarian and breast cancers and compare these to the racial/ethnic prevalence of ovarian and breast cancer in the United States. <h3>Methods:</h3> This study was designed as a retrospective review of clinical trials registered with Clinicaltrials.gov. Studies included evaluated PARP inhibitors for the treatment of ovarian, fallopian tube, primary peritoneal, and breast cancers. Enrollment rates for clinical trials were stratified by race/ethnicity and type of cancer. Enrollment fractions (EF) were calculated using prevalence data from the Surveillance, Epidemiology, and End Results (SEER) Database. Odds ratios (OR) and 95% Confidence Intervals (CI) were calculated to compare minority enrollment rates to Non-Hispanic (NH) White enrollment rates. <h3>Results:</h3> A 48 trials were identified, 17 of which met inclusion criteria (12 ovarian, 2 breast and 3 breast and ovarian). For ovarian cancer trials, enrollment fractions were NH-White 1.5%, NH-Black 0.3%, Hispanic 0.5%, and Asian/Pacific Islander the largest at 2.4%. For breast cancer trials, the EF for NH-White participants was 0.005%, for NH-Black patients was 0.008%, for Hispanic patients was 0.003%, and for Asian/Pacific Islander patients, still the highest at 0.009%. Patients identified as NH-Black and Hispanic were significantly underrepresented compared to those identified as NH-White in clinical trials for ovarian cancer (OR 0.23, 95% CI [0.18-0.29] and OR 0.3, 95% CI [0.25-0.38] respectively, <i>p</i>-value of < 0.0001). In breast cancer trials, both NH-Black and Asian/Pacific Islander groups were significantly overrepresented compared to the NH-White (OR 1.54, 95% CI [1.02, 2.33] p=0.042, and OR 1.81, 95% CI [1.01, 3.26] p=0.047 respectively). EF comparisons for ovarian and breast cancer are noted in Table 1. <h3>Conclusions:</h3> NH-Black and Hispanic participants are significantly underrepresented in clinical trials evaluating PARP inhibitors for ovarian cancer compared to NH-White cohorts. Phase II and III trials assessing PARP inhibitors for ovarian and breast cancer do not accurately represent the populations diagnosed with these malignancies. Enrollment strategies are needed to increase diversity in PARP inhibitor clinical trials for women's cancers.

Morphological diversity and disparity in trilobite cephala and the evolution of trilobite enrolment throughout the Palaeozoic

Morphology permits the extracting of information to study patterns of disparity and diversity of a particular group of animals through time. Enrolment is a characteristic behaviour of trilobites, having been first recorded in the Cambrian and continued until their demise at the end of Permian mass extinction. Morphological trends related to enrolment strategies have been documented previously but are yet to have been analysed in a morphospace framework. Here we analyse the cephalic shape of a wide range of trilobite taxa using geometric morphometrics. These methodologies were implemented to explore whether the relationship between the shape of the head and the evolution of different enrolment styles correspond with an increase in morphospace or disparity during the Palaeozoic. Our results show distinct patterns of diversity and disparity in the functional morphology of trilobites during the Palaeozoic. Furthermore, these analyses show that enrolment types in trilobites without interlocking devices (e.g. cylindrical) permit more flexibility in the head shape, promoting higher rates of disparity, possibly leading to an enhanced ability to occupy a broad range of ecological niches. On the contrary, lower disparity cephalic shape constrains the way to enclose the body and consequently places limitations on the ability to adapt to new niches. Our results indicate that the higher rates of morpho-functional diversity and disparity coincide with the increase of morphospace in radiations in the early Palaeozoic (Cambrian and Ordovician) but also immediately after the Carboniferous-Permian biodiversification event. Low disparity rates constrain the success of trilobites with a specific enrolment type. Finally, the results show that sphaeroidal enrolment style was the most successful type that evolved independently in all trilobite orders.

Dean executes enrollment strategy rooted in social justice

Demands for higher quality and a deep‐seated drive for social justice fuel the efforts of Mildred Lewis, Ed.D., as Dean of Enrollment Services at Laney College in Oakland, Calif. The community college has taken a more strategic approach to enrollment management over the past four years, making sure prospective and incoming students have the tools necessary to know that Laney is a fit and that their journey will go smoothly when they get there.

Quantifying the Impact of Student Enrollment Patterns on Academic Success Using a Hidden Markov Model

Simplified classifications have often led to college students being labeled as full-time or part-time students. However, student enrollment patterns can be much more complicated at many universities, as it is common for students to switch between full-time and part-time enrollment each semester based on finances, scheduling, or family needs. While previous studies have identified part-time enrollment as a risk factor to students’ academic success, limited research has examined the impact of enrollment patterns or strategies on academic performance. Unlike traditional methods that use a single-period model to classify students into full-time and part-time categories, in this study, we apply an advanced multi-period dynamic approach using a Hidden Markov Model to distinguish and cluster students’ enrollment strategies into three categories: full-time, part-time, and mixed. We then investigate and compare the academic performance outcomes of each group based on their enrollment strategies while taking into account student type (i.e., first-time-in-college students and transfer students). Analysis of undergraduate student records data collected at the University of Central Florida from 2008 to 2017 shows that the academic performance of first-time-in-college students who apply a mixed enrollment strategy is closer to that of full-time students, as compared to part-time students. Moreover, during their part-time semesters, mixed-enrollment students significantly outperform part-time students. Similarly, analysis of transfer students shows that a mixed-enrollment strategy is correlated with similar graduation rates as the full-time enrollment strategy and more than double the graduation rate associated with part-time enrollment. This finding suggests that part-time students can achieve better overall outcomes by increased engagement through occasional full-time enrollments.

Gene Therapy for Beta Thalassemia: Preliminary Results from the PHASE I/II Tiget-Bthal Trial of Autologous Hematopoietic Stem Cells Genetically Modified with GLOBE Lentiviral Vector

Gene Therapy for Beta Thalassemia: Preliminary Results from the PHASE I/II Tiget-Bthal Trial of Autologous Hematopoietic Stem Cells Genetically Modified with GLOBE Lentiviral Vector

Stakeholder-engaged process for refining the design of a clinical trial in home hospice

BackgroundClinical trials in home hospice settings are important to build the evidence base for practice, but balancing the burden and benefit of clinical trial conduct for clinicians, patients, and family caregivers is challenging. A stakeholder-engaged process can help inform and refine key aspects of home hospice clinical trials. The aim of this study was to describe a stakeholder-engaged process to refine, design, and implement aspects of an educational intervention trial in home hospice, including recommendations for refining intervention content and delivery, recruitment and enrollment strategies, and content and frequency of outcome measurement.MethodsA panel of interprofessional (1 hospice administrator, 3 nurses, 2 physicians, 2 pharmacists) and 2 former family caregiver stakeholders was systematically selected and invited to participate based on expertise, representing 2 geographically distinct hospices who were participating in the clinical trial. Teleconferences followed a predetermined procedural sequence: 1. pre-meeting materials distribution and review; 2. pre-meeting email solicitation of concerns in response to materials; 3. teleconference with structured and guided discussion; and 4. documentation and distribution of minutes for accuracy review and future meeting guidance. Discussion topics were distinct for each panel meeting. Written reflections on the stakeholder engagement process were collected from panel members to further refine our process.ResultsFive initial biweekly teleconferences resulted in recommendations for recruitment strategy, enrollment process, measurement frequency, patient inclusion, and primary care physician notification of the patient’s trial involvement. The panel continues to participate in quarterly teleconferences to review progress and unexpected questions and concerns. Panelist reflections reveal personal and professional benefit from participation.ConclusionsAn interprofessional stakeholder process is feasible and invaluable for developing home hospice intervention studies, contributing to better science, successful trial implementation, and relevant, valid outcomes.Trial registrationClinicaltrials.gov, NCT03972163, Registered June 3, 2019.

A bivariate Bayesian framework for simultaneous evaluation of two candidate companion diagnostic assays in a new drug clinical trial

Companion diagnostic tests play an important role in precision medicine. With the advancement of new technologies, multiple companion diagnostic tests can be rapidly developed in multiple platforms and use different samples to select patients for new treatments. Analytically validated assays must be clinically evaluated before they can be implemented in patient management. The status quo design for validating candidate assays is to employ one candidate assay to select patients for new drug clinical trial and then further evaluate the 2nd candidate assay in a bridging study. We propose a new enrollment strategy that employs two assays to select patients. We then develop a bivariate Bayesian approach that enables the totality of data to be used in evaluating whether these assays can be used independently or in a composite procedure in selecting right patients for new treatment. We demonstrate through simulations that when proper priors are available, the Bayesian approach is superior to classical methods in terms of statistical power.

Feasibility and acceptability of breath research in primary care: a prospective, cross-sectional, observational study

ObjectivesTo examine the feasibility and acceptability of breath research in primary care.DesignNon-randomised, prospective, mixed-methods cross-sectional observational study.SettingTwenty-six urban primary care practices.Participants1002 patients aged 18–90 years with gastrointestinal symptoms.Main outcome measuresDuring...

Adaptive Learning of Drug Quality and Optimization of Patient Recruitment for Clinical Trials with Dropouts

Problem definition: Clinical trials are crucial to new drug development. This study investigates optimal patient enrollment in clinical trials with interim analyses, which are analyses of treatment responses from patients at intermediate points. Our model considers uncertainties in patient enrollment and drug treatment effectiveness. We consider the benefits of completing a trial early and the cost of accelerating a trial by maximizing the net present value of drug cumulative profit. Academic/practical relevance: Clinical trials frequently account for the largest cost in drug development, and patient enrollment is an important problem in trial management. Our study develops a dynamic program, accurately capturing the dynamics of the problem, to optimize patient enrollment while learning the treatment effectiveness of an investigated drug. Methodology: The model explicitly captures both the physical state (enrolled patients) and belief states about the effectiveness of the investigated drug and a standard treatment drug. Using Bayesian updates and dynamic programming, we establish monotonicity of the value function in state variables and characterize an optimal enrollment policy. We also introduce, for the first time, the use of backward approximate dynamic programming (ADP) for this problem class. We illustrate the findings using a clinical trial program from a leading firm. Our study performs sensitivity analyses of the input parameters on the optimal enrollment policy. Results: The value function is monotonic in cumulative patient enrollment and the average responses of treatment for the investigated drug and standard treatment drug. The optimal enrollment policy is nondecreasing in the average response from patients using the investigated drug and is nonincreasing in cumulative patient enrollment in periods between two successive interim analyses. The forward ADP algorithm (or backward ADP algorithm) exploiting the monotonicity of the value function reduced the run time from 1.5 months using the exact method to a day (or 20 minutes) within 4% of the exact method. Through an application to a leading firm’s clinical trial program, the study demonstrates that the firm can have a sizable gain of drug profit following the optimal policy that our model provides. Managerial implications: We developed a new model for improving the management of clinical trials. Our study provides insights of an optimal policy and insights into the sensitivity of value function to the dropout rate and prior probability distribution. A firm can have a sizable gain in the drug’s profit by managing its trials using the optimal policies and the properties of value function. We illustrated that firms can use the ADP algorithms to develop their patient enrollment strategies.

The Challenges and Strategies of Affordable Care Act Navigators and In-Person Assisters with Enrolling Uninsured, Violently Injured Young Black Men into Healthcare Insurance Coverage.

Low-income young Black men experience a disproportionate burden of violent injury in the United States. These men face significant disparities in healthcare insurance coverage and access to care. The Affordable Care Act (ACA) created a new healthcare workforce, Navigators and In-Person Assisters (IPAs), to support low-income minority populations with insurance enrollment. Using a longitudinal qualitative case study approach with Navigators and IPAs at the two busiest urban trauma centers in Maryland, this study identifies the culturally and structurally responsive enrollment strategies used by three Navigators/IPAs as they enrolled violently injured young Black men in healthcare insurance coverage. These approaches included gaining their trust and building rapport and engaging female caregivers during enrollment. Navigators and IPAs faced significant barriers, including identity verification, health literacy, privacy and confidentiality, and technological issues. These findings offer novel insight into the vital work performed by Navigators and IPAs, as they attempt to decrease health disparities for young Black male survivors of violence. Despite high rates of victimization due to violent firearm injury, little is known about how this population gains access to healthcare insurance. Although the generalizability of this research may be limited due to the small sample size of participants, the qualitative case study approach offers critical exploratory data suggesting the importance of trauma-informed care in insurance enrollment by Navigators and IPAs. They also emphasize the need to further address structural issues, which affect insurance enrollment and thus undermine the well-being of young Black men who have survived violent injury.

Abstract PS8-11: Recruitment strategies for enrollment of high-risk women to a randomized controlled trial of web-based decision support tools to increase breast cancer chemoprevention

Abstract Background: Less than 10 % of those identified as eligible for clinical trials are recruited. Recruitment for chemoprevention trials poses challenges as it is often difficult to identify unaffected patients at high risk for cancer. Barriers to recruitment include personal perceptions of the benefits, fear of trials, low recruitment of minorities, language barriers, transportation costs, and complex study designs. In this study, we identified five potential sources of recruitment that could be collectively leveraged to identify women at high risk for breast cancer to improve recruitment yield. Methods: A total of 300 high-risk women and 50 healthcare providers were recruited and randomized to access web-based decision support tools in combination with standard educational materials or standard educational materials alone. Patient inclusion criteria included: 1) women, age 35-75 years; 2) English or Spanish-speaking; 3) no previous breast cancer diagnosis; 4) no prior use of selective estrogen receptor modulators (SERMs) or aromatase inhibitors (AIs). Five broad strategies were considered for identification and recruitment of women at high risk for breast cancer: 1) in-person recruitment during routine screening mammography with survey administration for breast cancer risk assessment according to the Gail model; 2) collection of breast cancer risk factors from the electronic health record (EHR) for risk assessment according to the Breast Cancer Surveillance Consortium (BCSC) risk calculator; 3) identification of women with atypical hyperplasia (AH) or lobular carcinoma in situ (LCIS) using ICD-9/10 diagnostic codes from the EHR; 4) high-risk women with clinic appointments and referred by enrolled providers; 5) women who responded to recruitment flyers and online recruitment distributed throughout the medical center and community. Results: A total of 6229 high-risk women were identified using these recruitment sources, of which 3663 were contacted by email, mailed letter, and/or phone for participation in our clinical trial. Of these contacted women, 16.4% were identified through in-person recruitment during screening mammography, 35.8% through breast cancer risk factors in the EHR, 14.5% had a diagnosis of AH or LCIS identified in the EHR, 28.7% had appointments with enrolled providers, and 4.5% responded to recruitment flyers or online recruitment. Women from the different recruitment sources varied by mean age (64.7 years for mammography and 44.9 years for recruitment flyers), race/ethnicity (73.7% non-white from mammography and 45.5% from breast cancer risk factors in the EHR), and mean 5-year breast cancer risk (2.56% identified from the EHR and 1.34% from recruitment flyers). Of 300 consented patients, 44.7% came from provider referrals (12.7% recruitment yield [number consented/number contacted]) and 27.3% from mammography (13.6% recruitment yield). Comparing enrolled to unenrolled patients, there were significant differences in mean age (57.3 vs. 58.7 years, p=0.027), proportion of non-whites (41.5% vs. 54.7%, p&amp;lt;0.001), and mean 5-year breast cancer risk (3.0% vs. 2.2%, p&amp;lt;0.001). Conclusions: We were able to identify a large cohort of women at high risk from breast cancer from multiple different recruitment sources. Our recruitment yield was highest among direct referrals from healthcare providers and in-person recruitment from mammography. Consented patients tended to be younger, include more non-Hispanic whites, and have a higher risk of breast cancer compared to the overall pool of high-risk women identified. We were able to successfully recruit a racially-ethnically diverse study population to a randomized controlled trial of decision support for breast cancer chemoprevention. Citation Format: Gauri Bhatkhande, Thomas Silverman, Jennie Mata, Ashlee Guzman, Ting He, Jill Dimond, Tarsha Jones, Rita Kukafka, Katherine Crew. Recruitment strategies for enrollment of high-risk women to a randomized controlled trial of web-based decision support tools to increase breast cancer chemoprevention [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS8-11.

Do cognitive performance and physical function differ between individuals with motoric cognitive risk syndrome and those with mild cognitive impairment?

BackgroundMotoric cognitive risk syndrome (MCR) is defined by slow gait speed combined with subjective cognitive complaint. MCR is a predementia syndrome, similar to mild cognitive impairment (MCI). However, there is currently no study comparing the differences in cognitive performance and physical function between these two types of cognitive impairment. Thus, the aim of this study is to compare cognitive performance and physical function in individuals with MCR versus MCI.MethodsA total of 77 participants, free of dementia, were recruited from the neurological outpatient clinic of a medical center in Taiwan. Participants were separated into 2 groups, MCR (n = 33) and MCI (n = 44) groups, based on definition criteria from previous studies. The priority was to assign a diagnosis of MCR first, followed by MCI. Hence, “pure” MCI had no overlap with MCR syndrome. Cognitive performance, including executive function, attention, working memory, episode memory, visuospatial function, and language, were measured. Physical functions such as activities in daily living, the Tinetti Assessment Scale, and the Timed Up and Go test were also measured.ResultsExecutive function, attention, working memory, episodic memory and language were all significantly lower in the MCR group than the MCI group. Abilities related to physical function, including those measured by the Tinetti Assessment Scale and the Timed Up and Go test, were significantly lower in the MCR group than the MCI group.ConclusionsWe noted that cognitive performance and physical function were lower in MCR individuals than MCI but without MCR syndrome. However, the conclusions were based on the enrollment procedure of participants prioritizes the MCR syndrome. Because of the overlap of MCR and MCI, future studies should use different enrollment strategies to further clarify the status of these two populations.

Higher education and financial crisis: a systematic literature review and future research agenda

This study systematically reviews the response of higher education of different economies amidst the financial crisis, focusing on their enrolment patterns and strategies. Six databases have been used in this research paper to find relevant publications from 2000 to 2019. We started from 200 scholarly studies and shortlisted 45 high-quality published papers to rely on for this research. Most studies concluded that most of the economies worldwide are inclined towards internationalisation and innovation approaches in higher education amidst increased competition and market fluctuations. Studies also revealed a strong connection between enrolment and labour market conditions at a higher education level. With the recurring recession, more rigorous approaches need to be introduced to understand short-term and long-term policies' effectiveness.

The Rostock International Parkinson's Disease (ROPAD) Study: Protocol and Initial Findings

ABSTRACTBackgroundGenetic stratification of Parkinson's disease (PD) patients facilitates gene‐tailored research studies and clinical trials. The objective of this study was to describe the design of and the initial data from the Rostock International Parkinson's Disease (ROPAD) study, an epidemiological observational study aiming to genetically characterize ~10,000 participants.MethodsRecruitment criteria included (1) clinical diagnosis of PD, (2) relative of participant with a reportable LRRK2 variant, or (3) North African Berber or Ashkenazi Jew. DNA analysis involved up to 3 successive steps: (1) variant (LRRK2) and gene (GBA) screening, (2) panel sequencing of 68 PD‐linked genes, and (3) genome sequencing.ResultsInitial data based on the first 1360 participants indicated that the ROPAD enrollment strategy revealed a genetic diagnostic yield of ~14% among a PD cohort from tertiary referral centers.ConclusionsThe ROPAD screening protocol is feasible for high‐throughput genetic characterization of PD participants and subsequent prioritization for gene‐focused research efforts and clinical trials. © 2020 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Gene‐ and age‐informed enrichment method for preclinical Alzheimer’s disease trials: Approach and estimated cost savings

AbstractBackgroundElevated β‐amyloid (Aβ) is used to enroll clinically normal (CN) individuals in preclinical Alzheimer’s disease (AD) trials, but the screening process is inefficient and expensive. Novel enrichment methods are needed to improve efficiency of enrollment of these individuals while reducing costs. We hypothesized that by combining a polygenic hazard score (PHS) and age‐specific risk for AD we could predict elevated Aβ in CN individuals.MethodAD incidence rates and each participant’s PHS were used to adjust the participant’s chronological age based on protective or deleterious genetic factors, thus creating an ADAge. An individual’s ADAge is defined as the chronological age at which there is equivalent AD risk in the population. Meng’s test was used in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) cohort to assess whether the ADAge was more correlated with Aβ than was chronological age. An ADAge cutpoint was chosen to optimally predict Aβ positivity among 306 CN participants from the ADNI and applied to 1000 bootstrap samples of an independent validation cohort of 80 CN participants from the UC San Diego Shiley‐Marcos Alzheimer’s Disease Research Center. The differences in means between samples enrolled by each strategy (ADAge enrichment vs no enrichment) were calculated to determine the efficiency of ADAge‐informed Aβ screening for preclinical AD trials as well as to determine the impact of ADAge enrichment on trial population demographics. The screening cost for enrolling 1000 Aβ+ CN participants in a clinical trial using each enrollment strategy was compared.ResultCompared to chronological age, ADAge was more correlated with Florbetapir SUVR in the ADNI cohort (p &lt; .001). In the validation cohort, the ADAge‐enriched sample had a higher proportion of individuals with elevated Aβ (difference[95% CI] 0.19[0.07–0.33]) than the unenriched sample. The ADAge‐enriched sample was older than the unenriched sample (difference 3.00[0.94 – 5.22]). However, the samples were similar in the proportion of APOE ε4 carriers, the dementia rating scale score, and the proportion of female participants. ADAge enrichment lowered screening costs by $5.3 million (34%) in a clinical trial scenario.ConclusionADAge enrichment provides for a more efficient and cost‐effective means to enroll CN individuals with elevated Aβ in clinical trials.

Google analytics of a pilot study to characterize the visitor website statistics and implicate for enrollment strategies in Medical University

BackgroundTaiwan’s colleges and universities are struggling to maintain their student enrollment rates owing to the declining fertility rate. Focusing on students in higher education programs, this study aims to analyze online behavioral patterns for university departmental websites and accordingly, suggests response strategies to increase the rate of enrollment.MethodsWe use Google Analytics to examine the websites of two departments in a medical university between February 1 and July 30, 2018. We study website patterns during the study periods for three college admission routes: STARS program, personal applications, and admission through examination and placement.ResultsMost website visitors during the three visiting date ranges for the two departments are 18–24 years. The visitor groups are mainly freshmen at the university and their parents. The homepage and Subject Credits, Course Planning, Teacher Lineup, and Certificate of Subjects were the most visited webpages. The overall number of daily page views varied by academic event.ConclusionsUniversity departments should enhance the presentation of featured courses on their webpage or distinguish course characteristics from those of competing departments in the curriculum to ensure clear market segmentation. In addition, departments should consider examining online data to identify suitable high schools that can be visited to attract potential students and to improve students’ willingness to choose their university.

Research on the University Fall Enrollment Strategies Based on Apriori Algorithm

Using the historical enrollment data of colleges and universities to mine, discover the relationship between the potential data, and use the results of data mining to provide reasonable suggestions for enrollment policies, which is of great significance to college enrollment. This paper aims at the allocation of enrollment colleges and the allocation of college students in the process of autumn enrollment in colleges and universities, through the Apriori algorithm in data mining, mining historical enrollment data for 3 consecutive years after data cleaning. Based on the frequent itemsets obtained from the experimental results, a reasonable allocation of college places and student college allocation plan was made.

Best Practices for Engaging Pregnant and Postpartum Women at Risk of Substance Use in Longitudinal Research Studies: a Qualitative Examination of Participant Preferences.

There are significant barriers in engaging pregnant and postpartum women that are considered high-risk (e.g., those experiencing substance use and/or substance use disorders (SUD)) into longitudinal research studies. To improve recruitment and retention of this population in studies spanning from the prenatal period to middle childhood, it is imperative to determine ways to improve key research engagement factors. The current manuscript uses a qualitative approach to determine important factors related to recruiting, enrolling, and retaining high-risk pregnant and postpartum women. The current sample included 41 high-risk women who participated in focus groups or individual interviews. All interviews were analyzed to identify broad themes related to engaging high-risk pregnant and parenting women in a 10-year longitudinal research project. Themes were organized into key engagement factors related to the following: (1) recruitment strategies, (2) enrollment, and (3) retention of high-risk pregnant and parenting women in longitudinal research studies. Results indicated recruitment strategies related to ideal recruitment locations, material, and who should share research study information with high-risk participants. Related to enrollment, key areas disclosed focused on enrollment decision-making, factors that create interest in joining a research project, and barriers to joining a longitudinal research study. With regard to retention, themes focused on supports needed to stay in research, barriers to staying in research, and best ways to stay in contact with high-risk participants. Overall, the current qualitative data provide preliminary data that enhance the understanding of a continuum of factors that impact engagement of high-risk pregnant and postpartum women in longitudinal research with current results indicating the need to prioritize recruitment, enrollment, and retention strategies in order to effectively engage vulnerable populations in research.

Go with the (work) flow: Email automation

Marketing automation isn't necessarily new in higher education, but many of us are still adopting it as part of our regular enrollment strategy. Email drip campaigns, also referred to as email workflows, lead‐nurturing campaigns, or autoresponder series, are an incredibly efficient way to keep in touch with enrollment prospects at various stages in the funnel.